{"id":"W2088308756","doi":"10.1111/j.2050-5876.2013.00748.x","title":"Reviewing Britain's year of sporting triumph","year":2013,"lang":"en","type":"article","venue":"Juncture","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"History; Political science; Economic history; Media studies; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004896618,0.00006717572,0.0001727668,0.00003335409,0.0001009142,0.00002551964,0.0001266589,0.00008401545,0.001490708],"category_scores_gemma":[0.0003306721,0.00005162694,0.00008858072,0.0002074607,0.000054032,0.0001796096,0.00001641607,0.00009113301,0.000108602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002734673,"about_ca_system_score_gemma":0.00009237641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459148,"about_ca_topic_score_gemma":0.0001325812,"domain_scores_codex":[0.9992054,0.00002869847,0.0001869209,0.00009822135,0.0002508662,0.0002299036],"domain_scores_gemma":[0.9995177,0.00002789205,0.0001417066,0.0001209042,0.00008848078,0.0001033579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003159881,0.0002306714,0.169645,0.000438559,0.0001147569,0.00003787331,0.05937381,0.00001888062,0.006585282,0.08180735,0.415616,0.2661002],"study_design_scores_gemma":[0.0001639247,0.00001488631,0.03531662,0.0001072697,0.00002009829,6.493968e-7,0.001686969,0.000001442655,0.0002668246,0.00147306,0.9608371,0.0001111363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378675,0.0008113458,0.00001495469,0.00141186,0.0003660652,0.0002847291,0.00000105337,0.00004595398,0.05919658],"genre_scores_gemma":[0.9930534,0.0001127399,0.0003004068,0.0003483952,0.000379908,0.000004251161,0.000003419722,0.000007324242,0.00579018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5452211,"threshold_uncertainty_score":0.9994221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017970798285861,"score_gpt":0.2989650082387355,"score_spread":0.2787853002558768,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}